Generative AI: Introduction to Large Language Models

Contents

• Introduction Introduction

  • Generative AI with large language models

    45s
• 1. Large Language Models 1. Large Language Models

  • What is generative AI?

    6m 35s
  • What is a large language model?

    7m 26s
  • Types of large language models

    7m 7s
  • The evolution of large language models

    7m 47s
• 2. Neural Networks and Language Models 2. Neural Networks and Language Models

  • What is a neural network?

    5m 47s
  • How do neural networks learn?

    3m 53s
  • Deep learning and its significance

    7m 24s
• 3. Building Blocks of Large Language Models 3. Building Blocks of Large Language Models

  • The Transformer architecture

    5m 34s
  • What is an encoder-decoder?

    7m 29s
  • The attention mechanism

    4m 31s
  • How does self-attention work?

    7m 22s
• 4. Societal Implications of Large Language Models 4. Societal Implications of Large Language Models

  • Common applications of large language models

    7m 46s
  • Challenges with large language models

    9m 33s
  • The future of large language models

    4m 46s
• Conclusion Conclusion

  • Next steps

    2m 15s